如何在Python中内插未排序的2Dnumpy数组，并将内插值与原始值进行比较？

pip install scipy

import numpy as np
from scipy.interpolate import griddata

# 原始数据
x = np.random.rand(100)
y = np.random.rand(100)
z = np.random.rand(100)

# 生成未排序的2D numpy数组
points = np.column_stack((x, y))

# 生成网格点
xi = np.linspace(0, 1, 10)
yi = np.linspace(0, 1, 10)
xi, yi = np.meshgrid(xi, yi)
grid_points = np.column_stack((xi.flatten(), yi.flatten()))

# 内插
zi = griddata(points, z, grid_points)

# 比较内插值与原始值
for i in range(len(zi)):
    print("原始值：", z[i])
    print("内插值：", zi[i])
    print("---------------")